Memgraph VS DBDiagram.io
Compare Memgraph VS DBDiagram.io and see what are their differences
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Memgraph
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Memgraph is a streaming graph application platform that helps you wrangle your streaming data, build sophisticated models that you can query in real-time, and develop applications you never thought possible in days, not months.
Memgraph directly connects to your streaming infrastructure, so you and your team don’t spend countless hours building and maintaining complex data pipelines. You can ingest data from sources like Kafka, SQL, or plain CSV files. Memgraph provides a standard interface to query your data with Cypher, a widely-used and declarative query language that is easy to write, understand and optimize for performance. This is achieved by using the property graph data model, which stores data in terms of objects, their attributes, and the relationships that connect them. This is a natural and effective way to model many real-world problems without relying on complex SQL schemas.
Memgraph is implemented in C/C++ and leverages an in-memory first architecture to ensure that you’re getting the best possible performance consistently and without surprises. It’s also ACID-compliant and highly available.
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The product is very robust and easy to use. I highly recommend it to anyone who needs to analyze streaming data in real-time.
Memgraph might be a bit more popular than DBDiagram.io. We know about 21 links to it since March 2021 and only 18 links to DBDiagram.io. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Memgraph | Staff C++ Database Engineer | REMOTE (Central/Western Europe, LatAm, or North America) https://memgraph.com/ Memgraph is a Seed stage, open source graph database vendor. Graph DBs are a great solution for GenAI, logistics, cybersecurity and fintech so we are looking to grow aggressively this year. We're looking for a staff-level engineer to set technical direction, mentor junior team members, and solve... - Source: Hacker News / 2 months ago
Relational databases have a much longer history of development, and much more engineering time has went into designing RDBMS. It is not a surprise that they are mature on more levels. By looking at the age of a product, you can get a sense of how mature RDBMS systems are compared to most GraphDB projects. Horizontal scaling is hard in GraphDBs due to the nature of how the graph is structured and how you interact... - Source: Hacker News / 5 months ago
NoSQL databases are non-relational databases with flexible schema designed for high performance at a massive scale. Unlike traditional relational databases, which use tables and predefined schemas, NoSQL databases use a variety of data models. There are 4 main types of NoSQL databases - document, graph, key-value, and column-oriented databases. NoSQL databases generally are well-suited for unstructured data,... - Source: dev.to / 10 months ago
Whether it's about identifying similar user profiles in a social network, detecting similar patterns in a communication network, or classifying nodes in a semantic network, cosine similarity contributes valuable insights. Combined with a powerful graph database system, such as Memgraph, it gives a better understanding of complex networks. Memgraph is an open-source in-memory graph database built to handle... - Source: dev.to / 11 months ago
Take a look at this blog post about choosing the optimal index. It focuses on Memgraph graph database but it offers a theoretical background that is not vendor related. Source: about 1 year ago
Check out https://dbdiagram.io/home, they have a very cool product. You can write ERD as code and ship to DDL language on the fly. Source: about 1 year ago
I like https://dbdiagram.io/home because I can run it open source using Python. Source: about 1 year ago
This combined with DBDiagram.io in a package similar to SSMS, SQLYog, or TablesPlus would be amazing. Source: over 1 year ago
Great work! Been excited to see some work being done in this domain. Just tagging on to the post to ask what is the best diagram type/tool for high-level abstract domain modelling? I find the UML examples quite unwieldy and esoteric. I like the speed of https://dbdiagram.io/home but it's unnecessarily tailored to databases. Source: over 1 year ago
This doesn't seem too complicated in the scope of our simple cookbook but can get very complicated very quickly as the application grows. Thankfully there are tools to help you create diagrams and visualize all of these connections such as: dbdiagram and Figma. - Source: dev.to / over 1 year ago
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
DBeaver - DBeaver - Universal Database Manager and SQL Client.
FalkorDB - Explore FalkorDB, the premier knowledge graph database tailor-made for GenAI applications. Unlock the power of structured data for advanced AI insights.
draw.io - Online diagramming application
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
LucidChart - LucidChart is the missing link in online productivity suites. LucidChart allows users to create, collaborate on, and publish attractive flowcharts and other diagrams from a web browser.